Work with our Portfolio Companies.
531
Jobs
75
Companies
Making your next career move? Check out the openings at our Portfolio Companies.
Lead Search Quality Engineer
Eudia
Quality Assurance
Bengaluru, Karnataka, India
Posted on Feb 18, 2025
About Eudia:
Eudia is redefining the future of legal work with AI-powered Augmented Intelligence, enabling Fortune 500 legal teams to move faster, manage risk more effectively, and unlock new business value. Backed by $105M in Series A funding led by General Catalyst, we’re building a category-defining platform that blends AI-driven automation with human expertise, transforming legal from a cost center into a strategic growth driver.
At Eudia, we move fast. Unlike traditional enterprise software, our teams ship solutions in days, not months—delivering real impact for some of the world’s largest companies, including Cargill, Coherent, DHL, and Duracell. We’re solving one of the most complex, unsolved challenges in AI: bringing trust, accuracy, and security to legal automation.
We’re a team of builders, operators, and problem-solvers who are passionate about reshaping an industry that has long been resistant to change. If you’re looking for a place where you’ll be challenged, take ownership from day one, and work alongside some of the brightest minds in AI and legal —we’d love to meet you.
About the Role:
We are looking to hire a Lead Engineer with deep expertise in Search and NLP to join our founding team in India. This person will work from our Bangalore office and actively collaborate with the Palo Alto team. This role will focus on building excellent Search and Natural Language query products on versatile legal knowledge base. In this role, the candidate will seize a unique opportunity to work with data from Fortune 500 companies' legal and risk departments, developing the most secure, enterprise-grade software using the latest in Generative AI. The opportunity to tackle challenges in creating cloud-agnostic solutions, maintaining stringent security and compliance standards, and building scalable, resilient platforms for enterprise applications, data, AI, and search also exist while you will be able to routinely innovate on behalf of our customers, collaborating with the world's top legal and risk experts, as well as preeminent business, technology, AI professionals, and engineers.
Key Responsibilities:
- Research and Development: Design and develop advanced machine learning models and algorithms tailored to specific business needs. Stay up-to-date with the latest AI/ML research and incorporate relevant advancements into solutions.
- Model Deployment: Build, train, and deploy production-grade models with a focus on scalability and efficiency. Optimize existing models for performance, accuracy, and reliability in live environments.
- Collaboration: Partner with cross-functional teams, including data engineers, software developers, and product managers, to define project requirements and deliver solutions. Translate business objectives into AI-powered strategies and deliverables.
- Data Handling: Process, clean, and analyze large, complex datasets to extract actionable insights. Develop robust data pipelines and frameworks for continuous improvement of AI models.
- Performance Metrics: Define success metrics for AI models and continuously monitor performance against business objectives. Document processes and present findings to stakeholders in a clear, actionable manner.
Qualifications:
- Master’s or Ph.D. in Computer Science, Machine Learning, AI, Mathematics, Statistics, or a related field.
- 5+ years of experience in AI/ML engineering, data science, or a similar role, with a strong background in deploying and integrating AI/ML solutions in real-world environments.
- Prior experience in building Search and Query processing – AI driven re-ranking, techniques like entity recognition, query segmentation and query expansion
- Experience in semantic search and Information retrieval – Vector Search, implementing dense vector embedding for meaning based retrieval.
- Proficiency in LLMs, RAGs, evaluation techniques, and machine learning frameworks (e.g., TensorFlow, PyTorch) and reinforcement learning for search.
- Strong problem-solving skills in diagnosing and resolving AI/ML model issues, including model drift, data quality challenges, and performance optimization.
Preferred Qualifications:
- Multilingual NLP – Handling cross-language query understanding and translation.
- Familiarity with applying artificial intelligence and machine learning techniques in customer deployments, particularly in areas such as data analysis, predictive modeling, or automation.
Why You will Love Working Here:
- Impactful Work: Be part of a team that is at the forefront of AI innovation.
- Growth Opportunities: Work in an environment that encourages professional growth and the exploration of latest ideas.
- Dynamic Culture: Join a group of passionate, driven individuals who are committed to making a difference.
If you’re ready to take on the challenge and make an impact in a rapidly evolving industry, we want to hear from you. Apply today with your resume and a cover letter explaining why you’re the perfect fit for this role.